Senior Data Analyst

Aptive

5h

About The Position

Aptive seeks a seasoned Senior Data Analyst that is responsible for overall data management and analysis of all areas identified in the PWS and must possess a deep functional expertise on VHA systems, processes, and procedures. At a minimum, the Data Analyst, Senior shall possess a master’s degree and 10 years of experience. This role will lead data quality and analytics efforts in support of VA’s EHRM Rapid Decision Making program, using an array of data analytics tools and will also lean on NLP / ML capabilities. Expertise for this role will enable data-driven decisions for EHRM deployments, SNOW migration, and patient-safety reporting.

Requirements

• 10+ years of relevant professional experience in data analysis, data governance, and enterprise reporting (federal healthcare or equivalent large-scale environment preferred).
• Masters degree.
• Demonstrated experience supporting large, complex federal agencies; prior VA or DoD experience highly desirable.
• Advanced expertise in SQL (query optimization, ETL processes), R (statistical modeling, predictive analytics), Python (data wrangling, automation), Tableau and Power BI (dashboard development, performance optimization).
• Proven experience with data governance tools (e.g., Microsoft Purview, Collibra) and enterprise systems (e.g., ServiceNow, Power Apps).
• Ability to engage with and present to Executive-level stakeholders, synthesizing complex data into actionable insights.
• Strong background in data quality management and advanced analytics to support organizational decision-making.
• Ability to lead workstreams, mentor junior analysts, and manage cross-functional collaboration.
• Advanced proficiency with Microsoft Office applications (Excel, Word, PowerPoint) including automation and advanced analytics integration.
• Public Trust clearance eligibility and U.S. work authorization required.

Responsibilities

• Obtain data through advanced computerized models; extrapolating data patterns through advanced algorithms; developing graphs and charts to display what is improving and what is getting worse, and leveraging Natural Language Processing / Machine Learning capabilities to advance modeling, coding and development for the data analytics and insights workstream
• Present to managers how to best alter their business models to generate profitable future trends.
• In-depth knowledge of VHA Systems and files, to include, but not limited to: Corporate Data Warehouse (CDW); Veterans Health Information Systems and Technology Architecture (VistA); VHA Support Service Center (VSSC); VHA Reports and Measurement Portal (RAMP); Patient Treatment File (PTF) (MedSAS); Managerial Cost Accounting (MCA) System; Primary Care Management Module (PCMM); The National Patient Care Database (NPCD); Veterans Services Network Corporate Mini Master File (VETSNET File); etc.
• Obtain data through advanced computerized models; extrapolating data patterns through advanced algorithms; developing simple graphs and charts to display what is improving and what is getting worse.
• Monitor and validate RMA, ServiceNow, and Power Apps data pipelines; proactively surface anomalies, perform root‑cause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners.
• Define and operationalize enterprise data‑quality rules, thresholds, and KPI scorecards; codify repeatable QC playbooks and automate checks in Power Automate/SQL/Python; publish results in Purview and related governance tools.
• Lead Tier 0 → Tier 1 data stewardship and maintain end‑to‑end lineage/metadata in Purview/Collibra, ensuring accessibility, traceability, and VA/VHA compliance.
• Certify Tableau/Power BI dashboards and reports against integrity and accessibility standards; coordinate remediation with analytics teams. (Validation/certification—not chart creation—to avoid overlap with bullets 1 & 4.)
• Embed data‑quality gates and validation points in SAFe PI planning, sprint planning, and demos to ensure production‑ready data.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 101-250 employees